Nathan Korda

8 total papers · 438 total citations
3 papers, 105 citations indexed

About

Nathan Korda is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Nathan Korda has authored 3 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 1 paper in Information Systems. Recurrent topics in Nathan Korda's work include Advanced Bandit Algorithms Research (3 papers), Data Stream Mining Techniques (2 papers) and Recommender Systems and Techniques (1 paper). Nathan Korda is often cited by papers focused on Advanced Bandit Algorithms Research (3 papers), Data Stream Mining Techniques (2 papers) and Recommender Systems and Techniques (1 paper). Nathan Korda collaborates with scholars based in United Kingdom, Belgium and France. Nathan Korda's co-authors include David S. Leslie, Anthony Lee, Balázs Szörényi, Rémi Munos and Raphaël Fonteneau and has published in prestigious journals such as Journal of Machine Learning Research, Open Repository and Bibliography (University of Liège) and SZTE Publicatio Repozitórium (University of Szeged).

In The Last Decade

Nathan Korda

3 papers receiving 94 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nathan Korda 71 57 18 15 12 3 105
Yogeshwer Sharma 193 2.7× 71 1.2× 91 5.1× 24 1.6× 31 2.6× 7 232
Joshua Romoff 9 0.1× 75 1.3× 14 0.8× 19 1.3× 4 0.3× 4 113
Matthew Lepinski 20 0.3× 47 0.8× 11 0.6× 3 0.2× 2 0.2× 3 58
Alicia P. Wolfe 27 0.4× 140 2.5× 91 5.1× 11 0.7× 6 246
Hongye Jin 8 0.1× 123 2.2× 23 1.3× 10 0.7× 2 0.2× 2 229
S. Mittal 31 0.4× 120 2.1× 20 1.1× 5 0.3× 4 215
Olivér Kiss 16 0.2× 116 2.0× 16 0.9× 7 0.5× 2 0.2× 3 224
David Schneeberger 10 0.1× 123 2.2× 7 0.4× 8 0.5× 1 0.1× 5 223
Yisong Yue 81 1.1× 113 2.0× 20 1.1× 5 0.3× 6 0.5× 4 229
Katikapalli Subramanyam Kalyan 12 0.2× 150 2.6× 8 0.4× 7 0.5× 6 242

Countries citing papers authored by Nathan Korda

Since Specialization
Citations

This map shows the geographic impact of Nathan Korda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nathan Korda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Korda more than expected).

Fields of papers citing papers by Nathan Korda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan Korda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nathan Korda. The network helps show where Nathan Korda may publish in the future.

Co-authorship network of co-authors of Nathan Korda

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Korda. A scholar is included among the top collaborators of Nathan Korda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nathan Korda. Nathan Korda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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